50 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Groningen in Netherlands
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within the next three years is to be expected. A university PhD training programme is part of the agreement and the candidate will be enrolled in the Graduate School of Science and Engineering. The
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in or around the top 100 on several influential ranking lists. Currently approximately 34,000 students are enrolled and about 1,500 PhD students work on their theses. It has a highly international
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(Intercommunale Leiedal in Flanders). This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD Project For too long, discussions
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on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the
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-PJU1vND_fSTRCj-8/edit?rtpof=true&sd=true&tab=t.0 The PhD position will be embedded in the Computational Linguistics group of the Faculty of Arts of the University of Groningen, one of the leading research groups
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thesis within the contract period is to be expected. A PhD training program is part of the agreement and you will be enrolled in the Graduate School of the Faculty of Science and Engineering. Candidates
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Do you want to challenge prevailing narratives and contribute to new, ethical approaches to heritage management and knowledge production? This project presents an opportunity for a PhD candidate to
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to be expected. A PhD training programme is part of the agreement. The desired starting date is January 2026. The position will be filled as soon as a qualified candidate has been found, so interested
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create